[英]Grouped Bar Plot: How do I order according to the change in score?
[英]How do I fill a bar plot with a specific colour palette according to the variables?
嘗試通過創建自己的調色板來分配每種可變顏色,但有些顏色會混淆。 關於我應該如何解決這個問題的任何想法?
cor.partidos <- c(
`ps` = "#f71b75",
`psd` = "#ef6438",
`pcp-pev` = "#ff001d",
`pan` = "#71af64",
`outros` = "#f71b75",
`nulos` = "#565557",
`brancos` = "#aaa8ad",
`l` = "#f71b75",
`il` = "#f71b75",
`ch` = "#393195",
`cds-pp` = "#1192d8",
`be` = "#b40020",
`a` = "#f71b75")
#test graph
bars <- ggplot(leg19, aes(x = partido, y = votos)) +
geom_bar(stat="identity",
position="identity",
fill = cor.partidos) +
geom_hline(yintercept = 0, size = 1, colour="#333333") +
bbc_style() +
theme(axis.text=element_text(size=10))+
labs(subtitle = "Resultados Legislativas 2019",
ylab = "votos")
用 mwe 更新
如果托盤中的變量與 dataframe 的順序相同,它將起作用,但如果將其混合一下,它將不起作用。 將其更改為aes(fill = cor.partidos)
將不起作用:(
test.pallet <- c(
`pink` = "#f71b75",
`orange` = "#ef6438",
`green` = "#71af64",
`red` = "#ff001d",
`other pink` = "#f71b72")
test.datafrane <- data_frame(
name = c("pink","orange","red","green","other pink"),
value = c(1,2,3,4,5)
)
test.datafrane$value <- as.numeric(test.datafrane$value)
test.graph <- ggplot(test.datafrane, aes(x = name, y = value)) +
geom_bar(stat="identity",
position="identity",
fill = test.pallet)
test.graph
正如我在評論中建議的那樣,您可以通過將您的分類變量映射到 aes() 內的fill
上並使用scale_fill_manual
來實現您的結果:
test.pallet <- c(
`pink` = "#f71b75",
`orange` = "#ef6438",
`green` = "#71af64",
`red` = "#ff001d",
`other pink` = "#f71b72")
test.datafrane <- data.frame(
name = c("pink","orange","red","green","other pink"),
value = c(1,2,3,4,5)
)
test.datafrane$value <- as.numeric(test.datafrane$value)
library(ggplot2)
test.graph <- ggplot(test.datafrane, aes(x = name, y = value, fill = name)) +
geom_bar(stat="identity",
position="identity") +
scale_fill_manual(values = test.pallet)
test.graph
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.